Lung cancer and women

Women Epidemiology Lung Cancer (WELCA) study: reproductive, hormonal, occupational risk factors and biobank

Background

Lung cancer aetiology and clinical aspects have been mainly studied in men, although specific risk factors probably exist in women. Here we present the rationale, design and organization of the WELCA study (Women Epidemiology Lung CAncer) that has been launched to investigate lung cancer in women, focusing particularly on hormonal and occupational factors.

Methods/Design

WELCA is a population based case-control study and planned to recruit 1000 cases and 1000 controls in three years, based on study power calculation. Eligible cases are female patients newly diagnosed with lung cancer, living in Paris and the Ile de France area and aged up to 75 years. Almost all Parisian pneumology and oncology clinical departments are involved. The control group is a random sample of the population living in the same area, frequency-matched on age and additionally stratified on the distribution of socio-professional categories of women residing there. After acquisition of written consent, research nurses administer standardized computer assisted questionnaires to all the subjects in face-to-face interviews and acquire anthropometric measures. Besides usual socio-demographic characteristics, information is gathered about menstrual and reproductive factors, hormonal treatments, lifestyle and leisure characteristics, occupational history, personal and familial medical history. Biological samples are also collected, in order to establish a biobank for molecular epidemiology studies. Molecular characteristics of the tumours will be obtained and patients will be followed up for five years.

Discussion

The WELCA study aims to answer key questions in lung cancer aetiology and clinical characteristics specifically in women. The role of hormonal impregnation is investigated, and the interactions with cigarette smoking or body mass index (BMI) will be analyzed in detail. The occupational history of the subjects is carefully reconstructed, focusing in particular on the service sector. The creation of a biobank for collection of serum, plasma, DNA and tumour tissue will allow the genetic and biochemical characterization of both the subjets and the tumours. The follow-up of the patients will help in disentangling the role of hormonal factors and tumour molecular characteristics in survival.

Inhibition of livin expression suppresses cell proliferation and enhances chemosensitivity to cisplatin in human lung adenocarcinoma cells

Livin is a novel member of the inhibitor of apoptosis protein family that has been reported to be overexpressed in various types of human malignancy. Although several studies have demonstrated that livin may be used as an effective target for tumor therapy, few studies have investigated its role in human lung adenocarcinoma. In the present study, two different methods were used in order to investigate the tumor‑suppressing effect of livin in human lung adenocarcinoma cells. Firstly, small interfering (si)RNA technology was used to down regulate livin expression; siRNA-mediated knockdown of livin was confirmed using reverse transcription quantitative polymerase chain reaction and western blot analysis, and cell proliferations was assessed using an MTT assay in vitro. Secondly, inhibition of livin expression was induced through the synergistic inhibitory effect between flavopiridol and tumor necrosis factor‑related apoptosis-inducing ligand (TRAIL). Experimental results revealed that, following transfection of the livin gene-silencing vector, the gene expression of livin was markedly decreased, SPC-A1 cell proliferation was significantly reduced and the therapeutic effect of the chemotherapy drug cisplatin was markedly improved. This growth inhibitory effect was also observed in the flavopiridol and TRAIL combination treatment group. In the flavopiridol and TRAIL combination treatment group, the protein expression of livin was significantly reduced and the survival rate of SPC‑A1 cells was significantly lower than the flavopiridol and TRAIL single operation group. In conclusion, the RNA silencing and the synergistic inhibitory effect between flavopiridol with TRAIL was able to effectively inhibit the expression of livin, significantly decrease SPC-A1 tumor cell proliferation and significantly enhance sensitivity to the chemotherapy drug cisplatin. These findings suggest that livin may be used as a novel target for tumor gene therapy.

Estrogen receptor beta and CXCR4/CXCL12 expression: differences by sex and hormonal status in lung adenocarcinoma

BACKGROUND AND AIMS

Studies have reported differences in lung cancer behavior between sex and hormonal status that suggest a role of estrogens and estrogen receptor beta (ERβ) in lung carcinogenesis. In some types of hormone-dependent cancer, estrogens may regulate CXCL12/CXCR4 expression through ERβ signaling. High expression of CXCL12/CXCR4 is associated with poor prognosis in lung cancer because it promotes tumor growth and metastasis. Therefore, in this study we investigated whether lung adenocarcinoma tissues from pre- and postmenopausal women and from men exhibit different ERβ, CXCR4/CXCL12 expression and whether this expression is associated with clinicopathological features.

METHODS

Sixty primary tumor samples of lung adenocarcinoma from pre- and postmenopausal women and from men were collected for this study. Thirty samples of healthy lung tissue adjacent to the tumor site were used as controls. ERβ and CXCL12/CXCR4 expression was analyzed by immunohistochemistry. Expression of these proteins was measured by digital image software and compared between sex and hormonal status.

RESULTS

Lung adenocarcinomas overexpressed ERβ, CXCR4 and CXCL12 compared to normal lung. Moreover, lung adenocarcinomas from premenopausal women exhibited higher signals for ERβ, CXCL12 and CXCR4 compared to postmenopausal women and to men, who showed lower signals for these proteins. A multivariate analysis revealed a strong association between the immunoreactivity level of ERβ, CXCL12/CXCR4 and both sex and hormonal status, but not with tumor stage and smoking.

CONCLUSION

These results demonstrated that ERβ and CXCL12/CXCR4 expression in lung adenocarcinoma depends on sex and hormonal status, which may partly explain the sex and hormonal differences in lung cancer behavior.

Non-small cell lung cancer in surgically treated women

Aim and background

To determine whether female patients operated on for non-small cell lung cancer (NSCLC) have a survival advantage compared to male patients.

Methods and study design

We analyzed data from 1,426 prospectively collected patients submitted to lung resection for NSCLC between 1999 and 2008.

Results

Two groups, including 1,014 male and 412 female patients, were compared. Female patients were significantly younger, were more frequently asymptomatic, were less likely to be smokers, had better preoperative respiratory function, had a lower frequency of COPD, and were less commonly affected by cardiovascular comorbidity than men. Adenocarcinoma was more frequently present and early pathological stage (stage IA) more frequently detected in women at diagnosis. The operative mortality was significantly lower among women (1.6% vs 4.6%) (P = 0.012), and women underwent significantly more segmentectomies and fewer pneumonectomies (P = 0.001). The disease-related 5-year survival rate was significantly higher in women (66% vs 51%) (P= 0.0008). At univariate analysis the absence of symptoms at presentation, lower pathological stage, squamous cell type, and female gender were positive factors influencing long-term survival. At multivariate analysis low pathological stage, squamous cell type and female gender were confirmed as independent positive prognostic predictors. Women had a significant survival advantage irrespective of the histological subtype at pathological stage IA, IB, IIB and IIIA disease (P <0.05).

Conclusions

Female gender was confirmed to be a particular subset amongst patients affected by NSCLC and exerted a positive effect on disease-related survival of patients submitted to surgical resection. This important effect of gender should be cautiously kept in mind in analyzing the results of current and future trials for lung cancer therapy.

Combined SCLC clinical and pathologic characteristics

INTRODUCTION

Despite the well characterized clinical course of 'pure' SCLC, there have not been many data on combined SCLC, ie, tumors, which contain both small-cell and non-small-cell components.

MATERIALS AND METHODS

We analyzed 1628 consecutive cases of lung cancer (1200 NSCLC, 428 SCLC) at our institution over the past decade. We identified 22 patients with C-SCLC. The pathologic and clinical characteristics of these patients were reviewed. Survival analysis was performed and prognostic factors were assessed. These data were compared with the results obtained from our 406 pure SCLC patients who presented during the same time period.

RESULTS

The most common pathology was combined small-cell and large-cell with 16 cases followed by combined small- and squamous-cell carcinoma (3 cases), 2 cases of small-cell and nonspecified NSCLC, and 1 case of small cell and adenocarcinoma. Overall survival was significantly higher in C-SCLC patients compared with pure SCLC (median 15 vs. 10.8 months; P = .035). Surgery was significantly more common in this group of patients (45% vs. 3% in the pure small cell group; P < .0001). No difference in overall survival was observed in patients with C-SCLC and patients with pure SCLC, that did not receive surgery (P = .64).

CONCLUSION

Patients with combined SCLC carry a better prognosis than those with pure small-cell variety and are more likely to undergo surgery.

Identification of common prognostic gene expression signatures with biological meanings from microarray gene expression datasets

Numerous prognostic gene expression signatures for breast cancer were generated previously with few overlap and limited insight into the biology of the disease. Here we introduce a novel algorithm named SCoR (Survival analysis using Cox proportional hazard regression and Random resampling) to apply random resampling and clustering methods in identifying gene features correlated with time to event data. This is shown to reduce overfitting noises involved in microarray data analysis and discover functional gene sets linked to patient survival. SCoR independently identified a common poor prognostic signature composed of cell proliferation genes from six out of eight breast cancer datasets. Furthermore, a sequential SCoR analysis on highly proliferative breast cancers repeatedly identified T/B cell markers as favorable prognosis factors. In glioblastoma, SCoR identified a common good prognostic signature of chromosome 10 genes from two gene expression datasets (TCGA and REMBRANDT), recapitulating the fact that loss of one copy of chromosome 10 (which harbors the tumor suppressor PTEN) is linked to poor survival in glioblastoma patients. SCoR also identified prognostic genes on sex chromosomes in lung adenocarcinomas, suggesting patient gender might be used to predict outcome in this disease. These results demonstrate the power of SCoR to identify common and biologically meaningful prognostic gene expression signatures.

How close are we to customizing chemotherapy in early non-small cell lung cancer?

Although surgery is the only potentially curative treatment for early-stage non-small cell lung cancer (NSCLC), 5-year survival rates range from 77% for stage IA tumors to 23% in stage IIIA disease. Adjuvant chemotherapy has recently been established as a standard of care for resected stage II-III NSCLC, on the basis of large-scale clinical trials employing third-generation platinum-based regimens. As the overall absolute 5-year survival benefit from this approach does not exceed 5% and potential long-term complications are an issue of concern, the aim of customized adjuvant systemic treatment is to optimize the toxicity/benefit ratio, so that low-risk individuals are spared from unnecessary intervention, while avoiding undertreatment of high-risk patients, including those with stage I disease. Therefore, the application of reliable prognostic and predictive biomarkers would enable to identify appropriate patients for the most effective treatment.This is an overview of the data available on the most promising clinicopathological and molecular biomarkers that could affect adjuvant and neoadjuvant chemotherapy decisions for operable NSCLC in routine practice. Among the numerous candidate molecular biomarkers, only few gene-expression profiling signatures provide clinically relevant information warranting further validation. On the other hand, real-time quantitative polymerase-chain reaction strategy involving relatively small number of genes offers a practical alternative, with high cross-platform performance. Although data extrapolation from the metastatic setting should be cautious, the concept of personalized, pharmacogenomics-guided chemotherapy for early NSCLC seems feasible, and is currently being evaluated in randomized phase 2 and 3 trials. The mRNA and/or protein expression levels of excision repair cross-complementation group 1, ribonucleotide reductase M1 and breast cancer susceptibility gene 1 are among the most potential biomarkers for early disease, with stage-independent prognostic and predictive values, the clinical utility of which is being validated prospectively. Inter-assay discordance in determining the biomarker status and association with clinical outcomes is noteworthing.

Outcome and treatment strategy in female lung cancer: a single institution experience

PURPOSE

To assess the survival rate of female lung cancer treated at the Institute of Oncology of the Vilnius University, Lithuania during the period between 1996-2005.

MATERIALS AND METHODS

During the period between 1996-2005, 471 women diagnosed with lung cancer were treated at the Department of Thoracic Surgery and Oncology of the Institute of Oncology, Vilnius University. Data on morphology, stage and treatment was collected from the medical records. All lung cancer cases by histology were classified in two groups: non-small cell lung cancer (includes squamous cell carcinoma, large cell carcinoma, adenocarcinoma and other less common types) and small cell lung cancer. The vital status of the study group was assessed as of December 31, 2007, by passive follow-up, using data from the population registry. It was found that 411 (87.3%) of the patients had died. Survival was estimated according to the Kaplan-Meier method.

RESULTS

The median survival of female lung cancer diagnosed during 1996-2005 in Lithuania show to be 8.7 months (8.4 (95% CI 7.2-10.8) months with non-small cell lung cancer and 9.3 (95% CI 6.3-13.0) months with small-cell lung cancer). Survival was more than 20 months in resectable non-small cell lung cancer (stages I, II, IIIA). Non-small cell lung cancer survival in advanced stages was less than 7 months. Small-cell lung cancer patients median survival at limited and extended stages of the disease were 9.5 (95% CI 2.9-18.4) compared to 9.2 (95% CI 6.2-13.7) months. Non-small cell lung cancer patients most frequently were treated by surgery (27.0%), surgery and chemotherapy or radiotherapy (19.6%). Small cell lung cancer patient treatment included chemo and radiotherapy (27.0%), chemotherapy (19.0%), radiotherapy (17.5%), surgery (27.9%).

CONCLUSIONS

The single center study of female lung cancer diagnosed during 1996-2005 in Lithuania show a significantly better chance of survival in resectable non-small cell lung cancer. Advanced stages of the disease at the time of diagnosis and choice of treatment options of female lung cancer in the country still remains an issue.

Gender-related disparities in non-small cell lung cancer

Epidemiological studies clearly outline some disparities in cancer onset, progression as well as prognosis and therapeutic response between sexes. In particular, in lung cancer, the leading cause of cancer death, at least in Western countries, a gender disparity appears now to emerge, especially for non-small cell lung cancer (NSCLC). Such a disparity is apparently due to a variety of mechanisms, ranging from genetic and epigenetic differences to gender-specific lifestyle as well as to behavioral causes and, clearly, to sex hormones activity. Here we briefly recapitulate gender differences in terms of risk factors, histopathological features and pathogenetic mechanisms in NSCLC, and hypothesize that a gender-oriented pharmacology could beneficially impact on innovative therapeutic strategies.

Validation of recursive partitioning analysis classification in patients with brain metastases from non-small cell lung cancer treated with short-course accelerated radiotherapy

AIMS

To study various prognostic factors affecting outcome and to validate Radiation Therapy Oncology Group recursive partitioning analysis (RPA) class in non-small cell lung cancer (NSCLC) with brain metastases treated with short-course accelerated radiotherapy (SCAR).

MATERIALS AND METHODS

The case records of 100 patients with NSCLC consecutively treated at Tata Memorial Hospital from August 2006 to August 2009 were studied for various patient, tumour and treatment-related prognostic factors. Patients received whole-brain radiotherapy to a dose of 20 Gy/five fractions over 1 week (n=90) or 30 Gy/10 fractions over 2 weeks (n=10). The Kaplan-Meier estimate was used for survival analysis in SPSS v15.

RESULTS

The median overall survival was 4.0 months (range 0.5-30.0 months). The 6-, 12-, 18- and 24-month survival rates were 35.8, 18.0, 9.3 and 6.2%, respectively. Of the various prognostic factors, RPA class (II versus III, P value=0.023), Karnofsky performance score (<70 versus ≥70, P value=0.039) and the use of systemic therapy (yes versus no, P value=0.00) emerged as significant on univariate analysis. RPA classification effectively separated the patient population into prognostically distinct subgroups. The median overall survival for RPA class II and RPA class III was 6 and 4 months, respectively. The use of systemic therapy prolonged overall survival by 6 months (3 months versus 9 months).

CONCLUSION

The SCAR regimen is an effective and resource-sparing palliative strategy for brain metastases in NSCLC. The results validate the usefulness of RPA classification in this specific subset of patients treated with SCAR.

Gender, race, and survival: a study in non-small-cell lung cancer brain metastases patients utilizing the radiation therapy oncology group recursive partitioning analysis classification

PURPOSE

To explore whether gender and race influence survival in non-small-cell lung cancer (NSCLC) in patients with brain metastases, using our large single-institution brain tumor database and the Radiation Therapy Oncology Group recursive partitioning analysis (RPA) brain metastases classification.

METHODS AND MATERIALS

A retrospective review of a single-institution brain metastasis database for the interval January 1982 to September 2004 yielded 835 NSCLC patients with brain metastases for analysis. Patient subsets based on combinations of gender, race, and RPA class were then analyzed for survival differences.

RESULTS

Median follow-up was 5.4 months (range, 0-122.9 months). There were 485 male patients (M) (58.4%) and 346 female patients (F) (41.6%). Of the 828 evaluable patients (99%), 143 (17%) were black/African American (B) and 685 (83%) were white/Caucasian (W). Median survival time (MST) from time of brain metastasis diagnosis for all patients was 5.8 months. Median survival time by gender (F vs. M) and race (W vs. B) was 6.3 months vs. 5.5 months (p = 0.013) and 6.0 months vs. 5.2 months (p = 0.08), respectively. For patients stratified by RPA class, gender, and race, MST significantly favored BFs over BMs in Class II: 11.2 months vs. 4.6 months (p = 0.021). On multivariable analysis, significant variables were gender (p = 0.041, relative risk [RR] 0.83) and RPA class (p < 0.0001, RR 0.28 for I vs. III; p < 0.0001, RR 0.51 for II vs. III) but not race.

CONCLUSIONS

Gender significantly influences NSCLC brain metastasis survival. Race trended to significance in overall survival but was not significant on multivariable analysis. Multivariable analysis identified gender and RPA classification as significant variables with respect to survival.